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食管鳞状细胞癌中的全基因组表达谱分析。

The global expression profiling in esophageal squamous cell carcinoma.

作者信息

Dai Fuqiang, Mei Longyong, Meng Shenglan, Ma Zheng, Guo Wei, Zhou Jinghai, Zhang Jingge

机构信息

Department of Thoracic Surgery, Institute of Surgery Research, Daping Hospital, Third Military Medical University, China.

Department of Thoracic Surgery, Institute of Surgery Research, Daping Hospital, Third Military Medical University, China.

出版信息

Genomics. 2017 Jul;109(3-4):241-250. doi: 10.1016/j.ygeno.2017.04.005. Epub 2017 Apr 22.

DOI:10.1016/j.ygeno.2017.04.005
PMID:28442363
Abstract

Esophageal squamous cell carcinoma (ESCC) is the dominant subtype of esophageal cancer worldwide. This study aimed to explore the aberrant global expression profiling and construct regulatory network in ESCC for understanding tumorigenesis of ESCC. The expression pattern of long non-coding RNA (lncRNA), microRNA (miRNA) and mRNA was measured by RNA-sequencing in ESCC. Differentially expressed lncRNAs/miRNAs/mRNAs (DELs/DEMs/DEMIs) were identified in ESCC. DEMIs-DEMs network was constructed; hsa-miR-424-5p and hsa-miR-450b-5p were the hub miRNAs in the network, which negatively regulated 19 and 17 DEMs. DEMs targeted by DEMIs were significantly enriched in MAPK signaling pathway, pathways in cancer and focal adhesion signaling pathway. The expression of candidate DEMs and DEMIs in ESCC were validated through quantitative real-time polymerase chain reaction and microarray expression profiling analyses, and the results were generally consistent with our bioinformatics analysis. Our results might provide useful information for exploring the tumorigenesis mechanism and potentially therapeutic targets in ESCC.

摘要

食管鳞状细胞癌(ESCC)是全球食管癌的主要亚型。本研究旨在探索ESCC中异常的整体表达谱并构建调控网络,以了解ESCC的肿瘤发生机制。通过RNA测序测定了ESCC中长链非编码RNA(lncRNA)、微小RNA(miRNA)和信使RNA(mRNA)的表达模式。在ESCC中鉴定出差异表达的lncRNA/miRNA/mRNA(DEL/DEM/DEMI)。构建了DEMI-DEM网络;hsa-miR-424-5p和hsa-miR-450b-5p是该网络中的枢纽miRNA,它们分别对19个和17个DEM具有负调控作用。受DEMI靶向的DEM在丝裂原活化蛋白激酶(MAPK)信号通路、癌症相关通路和粘着斑信号通路中显著富集。通过定量实时聚合酶链反应和微阵列表达谱分析验证了ESCC中候选DEM和DEMI的表达,结果与我们的生物信息学分析基本一致。我们的研究结果可能为探索ESCC的肿瘤发生机制和潜在治疗靶点提供有用信息。

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